Intelligent systems that work, are useful, and make economic sense.

We are an academic lab that studies theory, algorithms, and applications of Artificial Intelligence, Machine Learning, and Robotics. We are part of the School of Computer Science at Carnegie Mellon University. By constantly exposing our work to domain-specific constraints and challenges, we identify gaps in the science of AI and our research focuses on developing new methods to improve the application of AI in practice.

Areas where we are making impact

Alumni

Autonians go on to do a lot of great things

COVID Dashboard

Auton Lab helps Allegheny Health Department forecast COVID outbreaks from measurements of virus loads in wastewater samples.

Machine Learning for the Developing World

Technologies and research opportunities to address needs across the world

ERNIE

Description of the impact of the project

Food Safety

Public health surveillance

Health Care & Public Health

Auton Lab performs research at the intersection of artificial intelligence and healthcare. Research efforts range from mining new biomedical imaging modalities for learnable structure, to forecasting cardio-respiratory instabilities from continuous vital sign measurements, to public health efforts aimed at modeling outbreak detection and testing policy interventions to determine a course of action.

Industry

Principals at Auton Lab are partners with industrial researchers

Counter Human Trafficking

Marinus Analytics is a startup that spun off from the Auton Lab at CMU in 2014.

AI x Natural Sciences & Knowledge Discovery

Using AI to augment the ability of subject matter experts (SMEs) to pour through trememdous amounts of data and exract insights which further human knowledge and understanding of the universe.

Robotics & Autonomous Vehicles

Auton Lab research on robotics systems spans perception, cognition, and actuaion. Current application domains for robotics research include autonomous trama care robots as well as autonomous vehicles.

Safety & Security

Projects in this application area represent a variety of critical contexts for artificial intelligence and machine learning. Trust and understanding of the inner workings of models is an important step toward widespread deployment. Testing models to provide assurances of efficacy and safety encompasses both statistical and logical analyses. The Auton Lab not only makes an impact in Safety & Security by building state of the art AI, but also by informing policy decisions on how to ready complex, critical systems for a future where more insights and promise can be unlocked with AI.

Start-ups

Concepts developed at Auton Lab spin off into successful startups

Time-series Intelligence

Anomaly detection, simultaneous anomaly detection and classification. Structure anomaly detections

Latest News

Aug 5, 2022
Survival Analysis work featured on ML@CMU Blog
auton-survival is an open source package for regression, counterfactual estimation, evaluation and phenotyping with censored time-to-events. Blog Post
Jul 15, 2022
Symposium on AI for Predictive Maintenance
The Auton Lab is organizing a AAAI Fall Symposium on AI for Predictive Maintenance. Submission deadline is August 27th. The event takes place in Arlington, VA November 17-19.
Jul 7, 2022
Auton Lab Tracking COVID-19 Using Viral Levels in Wastewater
CMU AI researchers team up with Allegheny County Health Department to help predict virus surges.
Jun 1, 2022
$10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance
The School of Computer Science’s Auton Lab will use $10.5 million from the U.S. Army to lead a multi-institution effort to extend the capabilities of artificial intelligence in predictive maintenance.
Dec 29, 2021
Auton lab provides analytic support to Allegheny County Health Department's covid mitigation efforts
The Auton Lab’s work with the Allegheny County Health Department (ACHD) was featured at WPXI media and in the official Allegheny County Press release. The Auton lab is providing analytics to detect and forecast covid using microbiological testing of wastewater and developing a systematic analysis capability that this local public health office will use in daily practice.
Nov 18, 2021
EDS-HAT featured nationally
Our Enhanced Detection System for Healthcare-Associated Transmission algorithm is making news following a retrospective impact study led by our collaborators at the University of Pittsburgh. By coupling machine learning with whole genome sequencing, CMU and University of Pittsburgh School of Medicine scientists have greatly improved the quick detection of infectious disease outbreaks within a hospital setting.
Oct 15, 2021
Auton Lab turns 29 years old
Jul 12, 2021
Marinus Analytics places in XPrize competition
CMU spinoff Marinus Analytics won third place in the IBM XPrize for their work on counter-human-trafficking! Marinus Analytics has worked closely with the Auton Lab in the past in developing their methodology. See the full story on the CMU News Site.

Intelligent systems that work, are useful, and make economic sense.

Areas where we are making impact

Latest News

Survival Analysis work featured on ML@CMU Blog

Symposium on AI for Predictive Maintenance

Auton Lab Tracking COVID-19 Using Viral Levels in Wastewater

$10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance

Auton lab provides analytic support to Allegheny County Health Department's covid mitigation efforts

EDS-HAT featured nationally

Auton Lab turns 29 years old

Marinus Analytics places in XPrize competition